Compartmental models have commonly been used for epidemic simulations, where the total number of individuals in different health states like Susceptible, Infected and Recovered are tracked, and the time-evolution of these numbers modeled by differential equations. In the context of Covid-19, these well-known compartments are insufficient due to the presence of large number of asymptomatic cases. In these models, the impacts of NPIs is handled by varying the parameters (eg. rate of infection and recovery) over time. [1]} proposes a COVID-ABS model to predict the impact of NPIs on public health and urban economics by simulating the contained environment of an urban city. The framework implements a compartmental SEIR model and takes into account the demographic and economic distributions of the population. Census data for Brazil is used for the parameters of this SEIR model, but the framework can be extended for any demographic. [2]} perform a similar analysis for France. They use detailed attributes pertaining to the specific demographics and social contact structure in France and implement a statistical model for city spaces and transport. [3]} came up with the SUTRA compartmental model which includes more compartments like asymptomatic cases.
